Multicore experiment: Plurality Hypercore Processor Performed by: Anton Fulman Ze’ev Zilberman Supervised by: Mony Orbach Project’s poster Winter 2008

System overview Plurality has developed a 256 Hypercore processor with unique architecture and programming model, suited for parallel algorithms The main project goal is to build and optimise algorithms for Plurality system, that will later be used for lab multicore experiment

System overview Task oriented programming model (TOP) The algorithm is partitioned to regular and duplicable tasks The algorithm can be described by a task map, with dependencies between the tasks Resource synchronization between tasks is managed automatically (unlike common multithread programming)

System architecture - cont

Project goals Build parallel algorithms Write documentation Provide the knowledge base for the multicore experiment

White balance algorithm Build LUT tasks build 3 look up tables, Each one contain multiplication of correction index with intensity(0-255) Balance tasks assign new values from LUT that match to original values of intensity

Performance charts – White balance